PRECISION, STABILITY ANALYSIS OF THE CRANKSHAFT GRINDING TECHNOLOGICAL PROCESS by S. A. Kornilovich, B. S. Trofimov

“…The implementation of the algorithm for calculating the accuracy and stability for the technological process of grinding the crankshafts during their restoration would reduce the error value. Moreover, the reduction of errors during the process of crankshafts restoration would improve the quality of repair, thus prolonging the crankshaft serviceability.…”
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The Impact of Building Level of Detail Modelling Strategies: Insights into Building and Urban Energy Modelling by Daniel Bishop, Mahdi Mohkam, Baxter L. M. Williams, Wentao Wu, Larry Bellamy

“…Conversely, modest error reductions can be obtained via simple model improvements, such as the inclusion of eaves and window border shading. …”
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Hourly and Day Ahead Power Prediction of Building Integrated Semitransparent Photovoltaic System by S. Kaliappan, R. Saravanakumar, Alagar Karthick, P. Marish Kumar, V. Venkatesh, V. Mohanavel, S. Rajkumar

“…The performance metrics of the errors are analysed such as the root mean square error (RMSE), mean absolute percentage error (MAPE), and mean square root (MSE). …”
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Assimilation of synthetic and real SWOT observations for the North Atlantic Ocean and Canadian east coast using the regional ice ocean prediction system by Guoqiang Liu, Guoqiang Liu, Gregory C. Smith, Audry-Anne Gauthier, Charlie Hébert-Pinard, Will Perrie, Will Perrie, Maryam Rashed Al Shehhi

“…The SSH error spectrum shows that the most notable improvements are for scales associated with the largest errors in the range of 200-400 km, with a 33% reduction compared to traditional data assimilation. …”
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Neural Network Method of Controllers’ Parametric Optimization with Variable Structure and Semi-Permanent Integration Based on the Computation of Second-Order Sensitivity Functions... by Serhii Vladov, Lukasz Scislo, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Victoria Vysotska

“…The model achieved a maximum accuracy of 0.993 with 160 training epochs, minimizing the error function to 0.005. In comparison with similar approaches, the proposed method demonstrated better results in accuracy and training speed, which was confirmed by a reduction in the number of iterations by 1.36 times and an improvement in the mean square error by 1.86–6.02 times.…”
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Integrating Copula-Based Random Forest and Deep Learning Approaches for Analyzing Heterogeneous Treatment Effects in Survival Analysis by Jong-Min Kim

“…Model performance is evaluated using Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Concordance statistic (C-statistic), Average Treatment Effect (ATE), and Conditional Average Treatment Effect (CATE) by race. …”
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Assembly Quality Control Technologies in Forced Clamping and Compensation Processes for Large and Integrated Aeronautical Composite Structures by Feiyan Guo, Qiangwei Bao, Jialiang Liu, Xiliang Sha

“…In addition, the manufacturing errors and layer parameters of large composite parts in different regions are different, and they also have a lower forming accuracy. …”
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Improving TIGGE Precipitation Forecasts Using an SVR Ensemble Approach in the Huaihe River Basin by Chenkai Cai, Jianqun Wang, Zhijia Li

“…According to the demand of flood control safety, four different ensemble methods were adopted to reduce the forecast errors of the datasets, especially the errors of missing alarm (MA), which may be detrimental to reservoir regulation and flood control. …”
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Coordinated frequency modulation strategy considering source–load uncertainty by Xiaohong Dong, Shuo Wang, Dengxin Ai, Yang Ma, Xiaodan Yu

“…For the wind speed prediction error and the uncertainty of EV off-grid time, a cooperative frequency modulation (FM) strategy is proposed.MethodsFirstly, the wind speed interval is divided based on the operating characteristics of WTGs and the load reduction rate. …”
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Extending measurement range for three-dimensional structured light imaging with digital exponential fringe pattern by Abel, Kamagara

“…Experimental simulations and results show that within the desired region of defocus or at an extended measurement range, the proposed method exhibits a 45% comparative reduction in root-mean-square phase error hence improvement in final measurement result.…”
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Robust Driving Control Design for Precise Positional Motions of Permanent Magnet Synchronous Motor Driven Rotary Machines with Position-Dependent Periodic Disturbances by Syh-Shiuh Yeh, Zhi-Hong Liu

“…RDC not only suppresses position-dependent periodic disturbances, but also significantly reduces position errors with a reduction rate of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>90</mn><mo>%</mo></mrow></semantics></math></inline-formula>. …”
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Examining the Complementarity of GEO and LEO Hyperspectral Infrared Sounders for NWP by Erica L. McGrath‐Spangler, N. C. Privé, Bryan M. Karpowicz, Andrew K. Heidinger, Min‐Jeong Kim, Satya Kalluri

“…Results show that LEO sounders are crucial in the reduction of global errors, but that high temporal resolution observations are critical on the scale of targeted regions. …”
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Development of Credibility Enhancement Method of Oil Products Metering at the Fuel Storage Depots by A. G. Godnev

“…The proposed automatic method of reservoir calibration making use of fuel dispenser under conditions of routine operation of fuel storage depot contributes to better accuracy and credibility of calibration, reduction in its timing and corresponding costs. Application of such method and equipment allows to interpret unmanageable systematic error of the fuel dispenser as a random one and (with more statistics available) to reduce resulting error of fuel dispenser from ±0.25 % practically up to до ±0.05 %.…”
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Patient Safety in Medication Nomenclature: Orthographic and Semantic Properties of International Nonproprietary Names. by Rachel Bryan, Jeffrey K Aronson, Pius ten Hacken, Alison Williams, Sue Jordan

“…<h4>Background</h4>Confusion between look-alike and sound-alike (LASA) medication names (such as mercaptamine and mercaptopurine) accounts for up to one in four medication errors, threatening patient safety. Error reduction strategies include computerized physician order entry interventions, and 'Tall Man' lettering. …”
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Impact of worklist selection on point-of-care ultrasound workflow – a quality improvement project by Jonathan Rowland, Jessa Baker, Natassia Dunn, Matthew Whited, Soheil Saadat, J. Christian Fox

“…Implementation also resulted in a 36% reduction in database studies containing an MRN data entry error. …”
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Digital Health Technology Interventions for Improving Medication Safety: Systematic Review of Economic Evaluations by Widya Norma Insani, Neily Zakiyah, Irma Melyani Puspitasari, Muhammad Yorga Permana, Kankan Parmikanti, Endang Rusyaman, Auliya Abdurrohim Suwantika

“…On average, DHT interventions reduced ADEs by 37.12% (range 8.2%-66.5%) and medication errors by 54.38% (range 24%-83%). The key drivers of cost-effectiveness included reductions in outcomes, the proportion of errors resulting in ADEs, and implementation costs. …”
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Load-Sharing Characteristics of Power-Split Transmission System Based on Deformation Compatibility and Loaded Tooth Contact Analysis by Hao Dong, Ling-ling Duan, Jun-an Zhang, Zhou Fang

“…Finally, the load-sharing coefficient of the power-split transmission system is obtained, and the influences of the installation errors are analyzed. The results show that the above-mentioned installation errors comprehensively influence the load-sharing characteristics, and the reduction of only one error could not effectively achieve perfect load-sharing characteristics. …”
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Enhanced Signal-to-Noise Ratio Estimation in Optical Fiber Communications: A Pilot-Based Approach by Mohamed Al-Nahhal, Ibrahim Al-Nahhal, Sunish Kumar Orappanpara Soman, Octavia A. Dobre

“…Novel features are extracted from pilot signals to utilize the pilot overhead in transmitted signals, such as mean absolute error and mean signed deviation, which statistically measure the error between transmitted and received pilot signals. …”
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Improving the quantification of peak concentrations for air quality sensors via data weighting by C. Frischmon, J. Silberstein, A. Guth, E. Mattson, J. Porter, M. Hannigan

“…When compared to unweighted colocation data, we demonstrate significant reductions in both error (root mean square error, RMSE) and bias (mean bias error, MBE) for pollutant peaks across all three datasets when data weighting is employed. …”
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Attitude tracking control for quadrotor UAVs based on extremum seeking by GUO Dali, ZHAO Zhongyuan, LUO Zijuan

“…Finally, numerical simulations were performed using MATLAB, which demonstrated a reduction of 0.246 in the steady-state tracking error of the proposed control method compared to the classical robust control method. …”
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